Demographics details for Manhattan, KS vs Kelseyville, CA
Population Overview
Compare main population characteristics in Manhattan, KS vs Kelseyville, CA.
| Data | Manhattan | Kelseyville |
|---|---|---|
| Population | 53,829 | 3,828 |
| Median Age | 24.7 years | 29.4 years |
| Median Income | $55,316 | $42,880 |
| Married Families | 29.0% | 25.0% |
| Poverty Level | 15% | 15% |
| Unemployment Rate | 3.8 | 4.2 |
Population Comparison: Manhattan vs Kelseyville
- In Manhattan, the population is higher at 53,829, compared to 3,828 in Kelseyville.
- The median age in Kelseyville is higher at 29.4 years, compared to 24.7 years in Manhattan.
- Manhattan has a higher median income of $55,316 compared to $42,880 in Kelseyville.
- A higher percentage of married families is found in Manhattan at 29.0% compared to 25.0% in Kelseyville.
- The poverty level is identical in both Manhattan and Kelseyville at 15%.
- Kelseyville has a higher unemployment rate at 4.2% compared to 3.8% in Manhattan.
Demographics
Demographics Manhattan vs Kelseyville provide insight into the diversity of the communities to compare.
| Demographic | Manhattan | Kelseyville |
|---|---|---|
| Black | 5 | 2 |
| White | 74 | 14 |
| Asian | 5 | Data is updating |
| Hispanic | 8 | 68 |
| Two or More Races | 7 | 16 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Manhattan vs Kelseyville
- A higher percentage of Black residents are in Manhattan at 5% compared to 2% in Kelseyville.
- Manhattan has a higher percentage of White residents at 74% compared to 14% in Kelseyville.
- The Asian population is larger in Manhattan at 5% compared to 0% in Kelseyville.
- Kelseyville has a higher percentage of Hispanic residents at 68%, compared to 8% in Manhattan.
- The percentage of residents identifying as two or more races is higher in Kelseyville at 16%, compared to 7% in Manhattan.
- A greater percentage of American Indian residents live in Manhattan at 1% compared to 0% in Kelseyville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Manhattan | Kelseyville |
|---|---|---|
| Mental Health Not Good | 15.7% | 18.2% |
| Physical Health Not Good | 10.1% | 13.6% |
| Depression | 20.2% | 21.5% |
| Smoking | 16.0% | 16.1% |
| Binge Drinking | 20.6% | 16.5% |
| Obesity | 32.2% | 34.1% |
| Disability Percentage | 12.0% | 15.0% |
Health Statistics Comparison: Manhattan vs Kelseyville
- In Kelseyville, a higher percentage report poor mental health at 18.2% compared to 15.7% in Manhattan.
- Higher depression rates are seen in Kelseyville at 21.5% versus 20.2% in Manhattan.
- Kelseyville has a higher smoking rate at 16.1% compared to 16.0% in Manhattan.
- Binge drinking is more common in Manhattan at 20.6% compared to 16.5% in Kelseyville.
- Kelseyville has higher obesity rates at 34.1% compared to 32.2% in Manhattan.
- There is a higher percentage of disabled individuals in Kelseyville at 15.0% compared to 12.0% in Manhattan.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Manhattan | Kelseyville |
|---|---|---|
| No Schooling | 0.5% (256) | 1.4% (54) |
| High School Diploma | 5.8% (3,138) | 19.0% (726) |
| Less than High School | 4.2% (2,256) | 32.8% (1,256) |
| Bachelor's Degree and Higher | 26.0% (14,017) | 7.2% (275) |
Education Levels Comparison: Manhattan vs Kelseyville
- In Kelseyville, a larger percentage of residents lack formal schooling at 1.4% compared to 0.5% in Manhattan.
- In Kelseyville, the rate of residents with high school diplomas is higher at 19.0% compared to 5.8% in Manhattan.
- The percentage of residents with less than a high school education is higher in Kelseyville at 32.8%, compared to 4.2% in Manhattan.
- A higher percentage of residents in Manhattan hold a bachelor's degree or higher at 26.0% compared to 7.2% in Kelseyville.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.